Cloud Engineer Intern

Role Overview

Support the reliability, scalability, and security of Tencent’s business-critical systems in a cloud-native environment. Monitor production systems, participate in on-call rotations, develop scripts, and assist in CI/CD pipeline optimization.

What You Will Do

Monitor production systems, troubleshoot outages, develop scripts to automate deployment and scaling tasks, and assist in CI/CD pipeline optimization.

Why It Might Be a Fit

Currently pursuing a PhD or Master’s in Computer Science, AI, Machine Learning, or related fields. Strong background in deep learning and machine learning fundamentals. Solid programming skills in Python and PyTorch/JAX.

Requirements

• Currently pursuing a PhD or Master’s in Computer Science, AI, Machine Learning, or related fields
• Strong background in deep learning and machine learning fundamentals
• Solid programming skills in Python and PyTorch/JAX
• Bachelor’s/Master’s in Computer Science, IT, or related fields (2026 graduation)
• OS: Linux/Unix system administration
• Scripting: Python, Shell, or Go
• Networking: TCP/IP, DNS, HTTP basics
• Bilingual Fluency in English & Chinese
• Basic Mandarin communication skills
• Experience with cloud platforms (Tencent Cloud, AWS, or Azure)
• Familiarity with IaC tools (Terraform, Ansible) or observability stacks (ELK, Prometheus)
• Knowledge of containerization (Docker/Kubernetes)
• Experience with at least one of: Vision–language models, Large language models, Video understanding/generation, Reinforcement learning or imitation learning
• Strong problem-solving and research skills
• Publications at top conferences (CVPR, ICCV, NeurIPS, ICLR, ACL, etc.)
• Experience training large models or working with distributed systems
• Experience with multimodal datasets and evaluation benchmarks
• Familiarity with: Transformer architectures and scaling laws, Multimodal alignment (contrastive learning, instruction tuning), Agent training (RLHF/RLAIF, planning, tool use), Synthetic data generation or simulation environments